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Change in schedule… Website currently says… August 5 th – first draft August 19 th – second draft Lets have instead… August 19 th – first draft

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(5) Other calculations and tables/graphs

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Overall Strategy (1) Average ES In-text: Average, range, total number Heterogeneity Fail-safe N Unweighted (and difference test to weighted) Outliers (and difference test to weighted after removing outliers) Charts/Tables: Descending order Stem-and-leaf Funnel Plot Boxplot

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(1) Average ES: in-text The average weighted effect size was.1221 (CI =.1139,.1302, z = 29.07, p <.001). The range of effect sizes is.78 to -.61 across 296 total effect sizes. The heterogeneity test for the weighted effect size was significant (Qw (293) = 1145.87, p <.001), indicating that there was substantial variation within the weighted effect sizes.

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Table: Descending order of ES

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Chart: Stem-and-leaf

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(1) Average ES: in-text A fail-safe N was calculated to ascertain the number of new, unpublished, or unretrieved studies required to reduce the significance of this averaged effect size to non-signifcance (Rosenthal, 1991), fail-safe N = 108,195. page 104-105 for Rosenthal, 1991

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(1) Average ES: in-text A fail-safe N can also be calculated to ascertain the number of new, unpublished, or unretrieved studies required to reduce this averaged effect size to a specific level (Lipsey & Wilson, 2001). To reduce the averaged effect size to a specified level of.1, the fail-safe N = 65, which indicates that it would take an additional 65 studies with an effect size of 0 to reduce the current meta- analyzed effect size of.1221 to.1. To reduce the average effect size to a specified level of.05, the fail-safe N = 424. To reduce the average effect size all the way to 0, the fail-safe N = 358,680. Page 166 of Lipsey/Wilson

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(1) Average ES: in-text Unweighted “The unweighted effect size average is.1451 (CI =.1339,.1563, z = 25.14, p <.001). “ Difference Test to Weighted “The test of the differences between the two dependent effect sizes was non-significant, z =.41, p =.69. In other words, the weighted effect size was not influenced by particular sample sizes that were extremely large or small. “ http://faculty.vassar.edu/lowry/rpop.html http://faculty.vassar.edu/lowry/rpop.html

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Chart: Funnel Plot

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(1) Average ES: in-text Outlier analysis “Outlier analysis determines the existence of extreme effect sizes, as compared to the analysis above which tested the influence of extreme sample sizes. Chart 3 shows the boxplot for the weighted effect sizes.” “Eliminating the outliers produces a weighted effect size of.1137 (CI =.1054,.1219, z = 26.89, p <.001).” Difference test to weighted after removing outliers “The test of the differences between the weighted effect sizes with and without the outliers was non-significant, z =.15, p =.88. Thus, the weighted effect size was not significantly influenced by outliers.”

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Chart: Boxplot

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Overall Strategy (2) Moderators In-text: Interpreting the data and comparing/contrasting Charts/Tables: ES of Moderators Categorical Moderator Data Continuous Moderator Data 95% Error Bar Chart Multivariate Data

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Table: Groupings of the ES

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Table: Moderators

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Chart: Error bars (95% CI)

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Table: Multivariate

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Data “Do not put your faith in what statistics say until you have carefully considered what they do not say. ” ~William W. Watt.

Data “Do not put your faith in what statistics say until you have carefully considered what they do not say. ” ~William W. Watt.

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